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Robust and Efficient Medical Imaging with Self-Supervision

Robust and Efficient Medical Imaging with Self-Supervision

19 May 2022
Shekoofeh Azizi
Laura J. Culp
Jan Freyberg
Basil Mustafa
Sebastien Baur
Simon Kornblith
Ting Chen
Patricia MacWilliams
S. S. Mahdavi
Ellery Wulczyn
Boris Babenko
Megan Wilson
Aaron Loh
Po-Hsuan Cameron Chen
Yuan Liu
Pinal Bavishi
S. McKinney
Jim Winkens
Abhijit Guha Roy
Zach Beaver
Fiona Ryan
Justin D. Krogue
M. Etemadi
Umesh Telang
Yun-hui Liu
L. Peng
G. Corrado
D. Webster
David Fleet
Geoffrey E. Hinton
N. Houlsby
Alan Karthikesalingam
Mohammad Norouzi
Vivek Natarajan
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Papers citing "Robust and Efficient Medical Imaging with Self-Supervision"

3 / 3 papers shown
Title
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model
Han Gu
Haoyu Dong
Jichen Yang
Maciej Mazurowski
MedIm
VLM
46
10
0
15 Apr 2024
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection
Dong Wang
Yuan Zhang
Kexin Zhang
Liwei Wang
63
109
0
20 Mar 2020
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
279
9,997
0
01 Sep 2014
1